Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use redevaaa/fin2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use redevaaa/fin2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="redevaaa/fin2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("redevaaa/fin2") model = AutoModelForTokenClassification.from_pretrained("redevaaa/fin2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from redevaaa/fin2: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/redevaaa/fin2/resolve/main/training_args.bin
- Command line
-
hf download hf://redevaaa/fin2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/redevaaa/fin2/resolve/main/training_args.bin
3.39 kB
- Xet hash:
- 1c0780abb8f6e6c5ddb7b6ede24bd0db47c7198f17b4ee3efca00c6fd04e4fc1
- Size of remote file:
- 3.39 kB
- SHA256:
- 69caa517d928de36863c55d22b81fc045ac19777253634cf0f2c2065dd380959
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